Embedded Computing and Machine Learning

Designed for professionals in or aspiring to embedded computing, AI, machine learning or electronics who want to strengthen expertise in embedded systems and ML applications. Developed partly in partnership with Arm; the first two modules use Arm's industry materials for AI-on-the-edge and ML for embedded systems, before expanding into advanced topics like deep learning and generative AI.

Normally a first or second-class undergraduate degree; computing/electronics background helpful but not required; foundation degree + relevant industrial experience considered; requires own computer (Windows 10+) and reliable internet as this is delivered by distance learning.

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